Program:
The workshop is organised around five sessions, spread over three days. Each session is divided into three segments of approximately equal time:

• two keynote presentations
• viewing the posters
• group discussion responding to the issues raised in the keynote address and poster presentations.

Sessions and Keynotes:

1. Hydrological Remote Sensing
   Keynote:M. McCabe (LANL) & Robert Gurney (U. Reading)
   Chairs: Yann Kerr and Eni Njoku
   

   This session will discuss advances in hydrologic remote sensing for model initialisation, assimilation, parameterisation and calibration, and for improved understanding of land-atmosphere interaction.

2. Short-Term Prediction
   Keynote:D. Barrett (CSIRO) & G. Balsamo (ECMWF)
   Chairs: Matthias Drusch and Peter Steinle
   

   This session will discuss advances in weather prediction and flood forecasting with a focus on assimilation and evaluation of short-term hydrologic forecast and prediction skill, and downscaling for hydrologic prediction.

3. Seasonal Prediction
   Keynote:D. Lettenmaier (UW) & M. Bierkens (UU)
   Chairs: Francis Chiew and Yuping Yan
   

   This session will discuss advances in seasonal weather prediction, drought forecasting and drought recovery from land data assimilation, and advances in the interface between seasonal climate forecasting and hydrologic forecasting.

4. Climate Modelling & Reanalysis
   Keynote:A. Pitman (UNSW) & S. Seneviratne (ETH)
   Chairs: Andy Pitman and Ian Enting
   

   This session will discuss recent advances in land-surface modelling for climate including the prospects for coupled land atmosphere reanalyses and the utility of off-line multi-model hydrologic water and energy balance studies.

5. Hydrologic Prediction
   Keynote:Z. Toth (NOAA) & R. Woods (NIWA)
   Chairs: Damian Barrett and Bart van den Hurk
   

   This session will discuss the use of land surface data assimilation in activities like HEPEX, PUB and GEWEX application projects, including an assessment of the needed skill for specific applications and the potential skill from assimilation systems.